Picsellia
  • Picsellia
  • Getting started
    • Start using Picsellia
    • Create, annotate, review a Dataset
    • Create a new Dataset Version with merged labels
    • Train a custom Object Detection model
    • Train a custom Classification model
    • Deploy model in production (Tensorflow only)
    • Feedback loop - Send predictions from models to Datalake or Datasets
  • Data Management
    • Upload assets to your Lake
    • Edit Tags for Pictures
    • Create a Dataset
    • Add data to a Dataset
    • Create a new Dataset version
    • Configure your Labels
    • Import annotation from other Dataset version
  • Experiment Tracking
    • Initialize an experiment
    • Checkout an experiment
    • Log your results to Picsell.ia
    • Store your files to Picsell.ia
    • Evaluate your models
    • Retrieve and update your assets
    • Publish your model
    • Namespace
  • Hyperparameter tuning
    • Overview
    • Install Picsell CLI
    • Config
    • Launch your Hyperparameters tuning
  • Models
    • Model HUB
  • References
    • API Reference
    • Python SDK Reference
    • Python Training Reference
  • Organization
  • Website
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References

Here you will discover how to interact with the platform with your own systems

PreviousModel HUBNextAPI Reference

Last updated 3 years ago

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Today there are two main ways to interact with the platform remotely :

  • our API, use traditional endpoints to retrieve some data or perform actions

  • our Python SDK, a Python wrapper around our API that can be manipulated easily in your Python scripts

Here are some example of what you can do with our API or our SDK :

  • Upload Images to your Datalake

  • Configure your Datasets

  • Download your data

  • Create Experiments

  • Retrieve Experiment parameters

  • Log your Experiment results

  • Store your Experiment files

  • ...

Now you can check those pages if you want up-to-date documentation on how to interact with Picsellia :

Python SDK Reference
API Reference